Foundations and Applications of Sensor Management

Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the f...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hero, Alfred O. (Επιμελητής έκδοσης), Castañón, David A. (Επιμελητής έκδοσης), Cochran, Douglas (Επιμελητής έκδοσης), Kastella, Keith (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Foundations and Applications of Sensor Management  |h [electronic resource] /  |c edited by Alfred O. Hero, David A. Castañón, Douglas Cochran, Keith Kastella. 
264 1 |a Boston, MA :  |b Springer US,  |c 2008. 
300 |a XVIII, 310 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Overview of Book -- Stochastic Control Theory for Sensor Management -- Information Theoretic Approaches to Sensor Management -- Joint Multi-Target Particle Filtering -- Pomdp Approximation Using Simulation and Heuristics -- Multi-Armed Bandit Problems -- Application of Multi-Armed Bandits to Sensor Management -- Active Learning and Sampling -- Plan-In-Advance Active Learning 0f Classifiers -- Application of Sensor Scheduling Concepts to Radar -- Defense Applications -- Appendices. 
520 |a Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the field for a diverse engineering audience ranging from signal processing, to automatic control, statistics, and machine learning. The level of treatment of the book is tutorial and self-contained. The chapters of the book follow a logical development from theoretical foundations to approximate approaches and ending with applications. The coverage includes the following topics: stochastic control foundations of sensor management; multi-armed bandits and their connections to sensor management; information-theoretic approaches; managed sensing for multi-target tracking; approximation methods based on embedded simulation; active learning for classification and sampling; and waveform scheduling for radar. An appendix is included to provide essential background on topics the reader may not have encountered as a first-year graduate student: Markov decision processes; information theory; and stopping times. Foundations and Applications of Sensor Management is an important reference for signal processing and control engineers and researchers as well as machine learning application developers. 
650 0 |a Engineering. 
650 0 |a Coding theory. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Mechatronics. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Control, Robotics, Mechatronics. 
650 2 4 |a Coding and Information Theory. 
650 2 4 |a Electrical Engineering. 
700 1 |a Hero, Alfred O.  |e editor. 
700 1 |a Castañón, David A.  |e editor. 
700 1 |a Cochran, Douglas.  |e editor. 
700 1 |a Kastella, Keith.  |e editor. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9780387278926 
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950 |a Engineering (Springer-11647)